Me postulé a través de una facultad o universidad. El proceso tomó 3 días. Acudí a una entrevista en Quantiphi (Visakhapatnam) en ago 2025
Entrevista
The interview consisted of 2 technical rounds, followed by a HR round. The interview questions focused mainly on Data Science and Machine Learning. This was from a campus recruitment drive. I got rejected in the very first round.
Preguntas de entrevista [1]
Pregunta 1
I was asked the following questions:
Introduce yourself.
Explain your ML projects.
Write Python code to turn a list into a dictionary.
Write Python code to find if a number is a power of 2.
What are the different types of Machine Learning? What is the difference between Supervised and Unsupervised Learning?
Explain the bias variance tradeoff??
Have you worked with Object Detection before?
What is LangChain?
What is Docker?
Explain about LLMs.
What do you know about RNNs and GNNs?
Explain how you use the GROUP BY query in SQL.
Me postulé a través de una facultad o universidad. Acudí a una entrevista en Quantiphi (Mumbai)
Entrevista
4 Rounds
1 - Test -> Aptitude, CSE Fundamentals, Coding
2 - Technical Round 1: Resume based questions and some fundamentals of ML and AI
3 - Technical Round 2: Resume based questions and indepth questions on architectures, frameworks and fundamentally important parts
4 - HR
Acudí a una entrevista en Quantiphi (Palo Alto, LA)
Entrevista
Pretty easy basic ml question and transformer architectures , no leetcode or ml system design questions, Transformer architecture encoder decoder and autoregressive models Transformer architecture encoder decoder and autoregressive models
Preguntas de entrevista [1]
Pregunta 1
Transformer architecture encoder decoder and autoregressive models
The process has three rounds: one aptitude test, one technical round on ML basics, algorithms, logical reasoning puzzles, project-related questions, and one HR round focusing on reasoning behind ML model choices.
Preguntas de entrevista [1]
Pregunta 1
ML algorithms and its working based on projects in resume.